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Dr. Suely Oliveira, Professor Department of
Computer Science, 14 MLH. Email:
suely-oliveira@uiowa.edu Office:
101 MLH Phone:
319-335-0731
Office Hours (FALL 2021) Tu - 11am-noon & 2-3pm (Zoom) |
RESEARCH: Machine Learning, Scientific Computing and Parallel Algorithms.
My research is interdisciplinary, I focus on
the computational and theoretical aspects of algorithms
in Scientific Computing and Machine Learning for
Engineering, Biology (Genetics) and Medicine. My
projects have included clustering algorithms for
protein-protein networks, neural networks for antibiotic
resistance, and interpretable neural networks for test
assessments. In these areas the use of machine learning, optimization and
high-performance computing is essential. I have
co-authored over 80 refereed papers on these topics and also
two books.
Book:
Building Proofs: A Practical Guide, World Scientific
Book:
Writing Scientific Software, Cambridge University Press
Research Group: Optimization, Machine Learning and High Performance Computing
TEACHING: I have taught classes in the area of Parallel
Computing, Algorithms, Discrete Structures, and Data
Structures.
CS:2230
Computer Science II Data Structures: ( Fall2021,
Fall
2020 , Spring
2020 )
CS:4740/MATH:4740/STAT:4740
Large Data Analysis ( Spring
2019, 2018, 2017, 2016 )
CS:3330
Algorithms ( Fall
2018 sec 1 & sec 2 )
CS:4700/MATH:4860
High Performance and Parallel Computing ( Fall
2017 )
CS:2210 Discrete Structures ( Fall
2015 sec1 & sec 2)
REU Computing for Health and Well-being (Summer 2021)
Big Data Summer School (2015-2018)
RECENT SUPPORT:
Machine Learning for Antibiotic Resistance
Private Industry gift from JMI Laboratories, North Liberty
PIs: Suely Oliveira and Cory Kromer-Edwards
(2020-2021)
Double strand break repair maelstrom: causes, mechanisms and genome destabilizing consequences R35 GM127006-01.
NIGMS. Investigator/s Anna Malkova (Principal Investigator), Suely P Oliveira (Collaborator).
(2018-2023)
Large Data Analysis & Visualization at the University of Iowa
NSF EXTREMS-QED DMS-1407216
PI: Suely Oliveira, co-PIs: Mary Kathryn Cowles, Isabel Darcy, Bruce Ayati, and David Stewart.
(2014-2020)
Developing efficient algorithms to process massive spatial data
Private Industry grant from John Deere, Moline
PIs: Suely Oliveira and Rahil Sharma
(2015-2016)
SOME RECENT TALKS:
FSDM 2019 - October 19, 2019, Kitakyushu, Japan
IJCNN 2019 - July 2019, Budapest, Hungary
UIOWA 2018- October, 2019, Iowa City, IA
SIAM 2018 - July 2018, Portland, Oregon
MCA 2017 - July 2017, Montreal, Canada
RECENT UIOWA ACTIVITIES:
Information Technology Advisory Charter Committee (2021-2024)
Applied Mathematical and Computational Sciences Program
Large Data Analysis Undergraduate Certificate Coordinator (2014-2019),
Daily Iowan, Office of Research
SOME RECENT OUTSIDE ACTIVITIES:
TPC for the 11th Annual Computing and Communication Workshop and Conference,
IEEE CCWC 2022, Virtual, USA, January 2021
TPC for the International International Conference on Fuzzy Systems and Data Mining
FSDM, October 2020, Xiamen, China
TPC for the 20th IEE International Paralllel and Distributed Scientific and Engineering Computing
(PDSEC19), jointly with 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)
May 2019, Rio de Janeiro, Brazil.
TPC for the International International Conference on Fuzzy Systems and Data Mining
FSDM, October 2019, Kitakyushu City, Japan
TPC for the International Conference on Fuzzy Systems and Data Mining
FSDM, November 2018, Bangkok, Thailand.
Sci Advisory Board (2018-present)
Big
Data and Cognitive Computing Special Issue Guest Editor, 2018
Big Data and Cognitive
Computing, Editor and Advisory Board